update default net to nn-4f56ecfca5b7.nnue #3816
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
New net trained with nnue-pytorch, started from a master net on a data set of Leela (T60.binpack+T74.binpck) Stockfish data (wrongIsRight_nodes5000pv2.binpack), and Michael Babigian's conversion of T60 Leela data (including TB7 rescoring) (farseer.binpack) available as a single interleaved binpack: https://drive.google.com/file/d/1_sQoWBl31WAxNXma2v45004CIVltytP8/view?usp=sharing The nnue-pytorch branch used is https://github.com/vondele/nnue-pytorch/tree/wdl passed STC: https://tests.stockfishchess.org/tests/view/61a3cc729f0c43dae1c71f1b LLR: 2.95 (-2.94,2.94) <0.00,2.50> Total: 49152 W: 12842 L: 12544 D: 23766 Ptnml(0-2): 154, 5542, 12904, 5804, 172 passed LTC: https://tests.stockfishchess.org/tests/view/61a43c6260afd064f2d724f1 LLR: 2.96 (-2.94,2.94) <0.50,3.00> Total: 25528 W: 6676 L: 6425 D: 12427 Ptnml(0-2): 9, 2593, 7315, 2832, 15 Bench: 6885242
|
Merged via e4a0c6c, congrats :-) |
|
Which version of the nnue-pytorch trainer should be considered the most "official", in your opinion? I see that the ReadMe.md file of official-stockfish still points to the nodchip repository, and as I understand it this is no longer the recommended trainer, so it would be nice to point to the best nnue-pytorch trainer at this point. |
|
https://github.com/glinscott/nnue-pytorch/ is the official trainer... I'll prepare a PR to merge my wdl as soon as get some time. I agree we should update the readme.md file, giving credit to the original nodchip trainer, while pointing to the current official. |
vondele
added a commit
to vondele/nnue-pytorch
that referenced
this pull request
Nov 29, 2021
this intends to skip (or more correctly weight) data points that are possibly incorrectly evaluated, i.e. retain data that are more likely to be correct. Was used to train two recent SF nets: official-stockfish/Stockfish#3816 official-stockfish/Stockfish#3808 --no-wld-fen-skipping option can be used to disable the default
vondele
added a commit
to vondele/nnue-pytorch
that referenced
this pull request
Nov 30, 2021
this intends to skip (or more correctly weight) data points that are possibly incorrectly evaluated, i.e. retain data that are more likely to be correct. Was used to train two recent SF nets: official-stockfish/Stockfish#3816 official-stockfish/Stockfish#3808 --no-wld-fen-skipping option can be used to disable the default
vondele
added a commit
to vondele/nnue-pytorch
that referenced
this pull request
Dec 1, 2021
this intends to skip (or more correctly weight) data points that are possibly incorrectly evaluated, i.e. retain data that are more likely to be correct. Was used to train two recent SF nets: official-stockfish/Stockfish#3816 official-stockfish/Stockfish#3808 --no-wld-fen-skipping option can be used to disable the default
vondele
pushed a commit
to vondele/Stockfish
that referenced
this pull request
Dec 1, 2021
closes official-stockfish#3822 also adjusts readme as requested in official-stockfish#3816 No functional change
|
the readme has been adjusted |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
New net trained with nnue-pytorch, started from a master net on a data set of Leela
(T60.binpack+T74.binpck) Stockfish data (wrongIsRight_nodes5000pv2.binpack), and
Michael Babigian's conversion of T60 Leela data (including TB7 rescoring) (farseer.binpack)
available as a single interleaved binpack:
https://drive.google.com/file/d/1_sQoWBl31WAxNXma2v45004CIVltytP8/view?usp=sharing
The nnue-pytorch branch used is https://github.com/vondele/nnue-pytorch/tree/wdl
passed STC:
https://tests.stockfishchess.org/tests/view/61a3cc729f0c43dae1c71f1b
LLR: 2.95 (-2.94,2.94) <0.00,2.50>
Total: 49152 W: 12842 L: 12544 D: 23766
Ptnml(0-2): 154, 5542, 12904, 5804, 172
passed LTC:
https://tests.stockfishchess.org/tests/view/61a43c6260afd064f2d724f1
LLR: 2.96 (-2.94,2.94) <0.50,3.00>
Total: 25528 W: 6676 L: 6425 D: 12427
Ptnml(0-2): 9, 2593, 7315, 2832, 15
Bench: 6885242